Generative AI

HRDC Reg. No: 10001677329
Duration: 12 Hours (1.5 Days)

Course Overview

The AI / Generative AI Training for Leaders program is designed to equip senior executives and decision-makers with strategic insights to lead effectively in the AI-driven era. This course focuses on Artificial Intelligence as a transformative force impacting industries, business models, workforce dynamics, and decision-making processes.

Participants will explore how AI enhances operational efficiency, drives innovation, and strengthens customer engagement while addressing governance, ethics, bias, and risk management. Through real-world case studies across industries such as retail, healthcare, finance, manufacturing, HR, and customer service, leaders will learn to align AI initiatives with business goals and deliver measurable ROI.

Who Should Attend

• C-level Executives (CEO, CTO, CIO, CFO)
• Senior Managers and Business Leaders
• Strategy and Innovation Leaders
• Digital Transformation Leaders
• Department Heads and Decision Makers

Why Choose This Course

• HRDC Claimable Training (ID: 10001677329)
• Designed specifically for non-technical leaders
• Focus on strategic AI adoption and business impact
• Real-world case studies from global organizations
• Covers AI governance, ethics, and risk management
• Helps build AI-ready organizations and leadership mindset

Learning Outcomes

By the end of this course, participants will be able to:

• Evaluate AI’s role in global competitiveness and industry transformation
• Design AI-driven business models for innovation and growth
• Align AI strategies with organizational goals and KPIs
• Build and lead AI-ready teams and cultures
• Apply ethical, governance, and risk management frameworks
• Identify AI opportunities across business functions

Prerequisites

• Leadership or managerial experience
• Basic understanding of digital transformation
• No coding or technical background required
• Interest in AI strategy and innovation

Lab Setup

Not required for this course (strategy-focused, non-technical program)

Teaching Methodology

• Instructor-led executive sessions
• Case study analysis (multi-industry)
• Strategic frameworks and models
• Interactive discussions and leadership exercises
• Scenario-based learning and quizzes

Generative AI

HRDC Reg. No : 10001677966

Course Duration: 8 Hours (1 Day)

Course Overview

The AI Mindset Workshop is a 1-day awareness and transformation program designed to help professionals move from AI curiosity to AI confidence.

Rather than focusing on technical depth, this workshop builds a strong foundation in Artificial Intelligence (AI), Machine Learning (ML), and Data Science, while emphasizing the development of an AI-first thinking approach.

Participants will explore how AI works at a high level, where it is already embedded in everyday life, and how to identify practical AI opportunities within their roles and organizations. Through guided discussions, real-world examples, and interactive exercises, learners will develop a structured framework for applying AI responsibly and effectively.

By the end of the workshop, participants will not just understand AI concepts—they will begin thinking like AI-aware decision-makers.

Who Should Attend

This workshop is ideal for:

• Business professionals across all functions
• Non-technical staff exploring AI adoption
• Managers and team leaders
• Executives beginning their AI journey
• HR, operations, and administrative professionals
• Anyone interested in understanding AI in a practical, non-technical way

Why Choose This Course

This program is designed to demystify AI and make it accessible to everyone—regardless of technical background.

Key benefits include:

• Build a strong foundation in AI, ML, and Data Science
• Develop an AI-first mindset for problem-solving
• Identify real-world opportunities to apply AI at work
• Learn to use no-code AI tools confidently
• Understand AI ethics, bias, and responsible use
• Shift from passive awareness to active AI adoption

Learning Outcomes

By the end of this workshop, participants will be able to:

• Explain the fundamentals of AI, ML, and Data Science in simple terms
• Differentiate between types of AI (Narrow, General, Super AI)
• Recognize real-world AI applications in business and daily life
• Identify repetitive or data-driven tasks suitable for AI support
• Apply an AI-first problem-solving framework
• Understand key AI components (data, models, training, inference)
• Evaluate AI solutions with awareness of ethics and bias
• Use no-code AI tools confidently for experimentation

Prerequisites

• No technical background required
• Basic digital literacy
• Curiosity about innovation and AI
• Open mindset toward learning and experimentation

Lab Setup

Participants will engage in interactive exercises using:

• A laptop with internet access
• Access to AI tools such as ChatGPT or similar platforms
• Optional tools:
  • Teachable Machine
  • Microsoft Copilot
• Browser-based exercises and guided activities

Teaching Methodology

This workshop is highly interactive and designed for engagement and mindset transformation:

• Instructor-led sessions with simple explanations
• Real-world examples and case studies
• Guided group discussions
• Interactive exercises and reflections
• Hands-on exploration of AI tools
• Practical frameworks for immediate application

Generative AI

HRDC Reg. No: TBA
Course Duration: 24 Hours (3 Days)

Course Overview

Artificial Intelligence (AI) is rapidly transforming the finance function—from forecasting and reporting to compliance and risk management. This 3-day intensive program is designed to equip finance professionals with practical, business-focused knowledge of AI, Machine Learning (ML), and Generative AI within modern financial environments.

The course bridges the gap between technical AI concepts and real-world finance applications across FP&A, Tax, Accounting, Procurement, and Compliance. Participants will gain a clear understanding of how AI models work, how to effectively interact with Large Language Models (LLMs) using prompt engineering, and how to evaluate risks in regulated financial settings.

Through hands-on exercises using tools such as ChatGPT, Power BI, and optional cloud notebooks, learners will explore AI-driven forecasting, automation, anomaly detection, financial storytelling, and governance frameworks.

The focus is on strategic adoption and practical application, enabling participants to supervise AI initiatives and deliver measurable business value—without requiring heavy coding.

Who Should Attend

This course is ideal for:

• Finance managers and analysts
• FP&A professionals
• Accountants and auditors
• Tax and compliance professionals
• Procurement and operations finance teams
• Finance transformation and digitalization leaders
• Business analysts working with financial data

Why Choose This Course

This program is designed to help finance professionals move beyond theory and apply AI confidently in real-world financial workflows.

Key benefits include:

• Understand AI, ML, and Generative AI in a finance context
• Learn practical prompt engineering techniques for financial tasks
• Explore real-world AI use cases across finance functions
• Gain hands-on experience with ChatGPT and Power BI
• Understand AI governance, compliance, and risk frameworks
• Learn how to deliver AI-driven insights to leadership
• No heavy coding required—focused on business application and value creation

Learning Outcomes

By the end of this course, participants will be able to:

• Understand core AI, ML, and Generative AI concepts relevant to finance
• Apply prompt engineering techniques for interacting with LLMs
• Evaluate responsible AI principles in regulated financial environments
• Explore and utilize common AI tools used in finance
• Identify and implement AI-driven use cases in FP&A, Tax, Procurement, and Accounting
• Interpret AI outputs and translate them into business insights

Prerequisites

• Basic understanding of finance and accounting concepts
• Familiarity with Excel or data visualization tools (e.g., Power BI)
• No prior programming experience required (coding is optional)

Lab Setup

Participants will work in a guided, hands-on environment using:

• Cloud-based tools such as ChatGPT
• Power BI for dashboards and visualization
• Optional: Google Colab for experimentation
• Pre-prepared financial datasets
• Exercises focused on prompt engineering, analysis, and reporting

Teaching Methodology

This course combines conceptual clarity with hands-on practice:

• Instructor-led sessions with finance-focused examples
• Guided hands-on exercises and labs
• Real-world finance case studies
• Interactive discussions on governance and risk
• Dashboard-building and storytelling exercises
• Practical frameworks for AI adoption in finance

Generative AI

HRDC Reg. No: 10001677365
Course Duration: 16 Hours (2 Days)

Course Overview

The rapid rise of Generative AI is reshaping industries, business models, and leadership priorities. This 2-day executive program is designed specifically for senior leaders who need to understand—not build—AI systems, but lead AI-driven transformation with confidence and clarity.

This course focuses on strategic insight rather than technical depth. Participants will gain the frameworks, vocabulary, and decision-making tools required to evaluate AI opportunities, manage risks, and implement responsible AI initiatives across their organizations.

Through real-world case discussions, executive simulations, and structured planning frameworks, leaders will learn how to move from AI curiosity to structured execution, aligning AI initiatives with business value, governance, and long-term strategy.

By the end of the program, participants will be equipped to act not just as AI adopters—but as AI decision-makers and transformation leaders.

Who Should Attend

This program is ideal for:

• C-level executives (CEO, CFO, CIO, CTO, CMO)
• Senior managers and department heads
• Business leaders driving digital transformation
• Strategy, innovation, and product leaders
• Consultants and advisors working with enterprise clients
• Board members and decision-makers evaluating AI investments

Why Choose This Course

This executive-focused program is designed to bridge the gap between AI technology and business leadership, enabling leaders to confidently guide AI initiatives without needing technical expertise.

Key benefits include:

• Understand Generative AI in clear executive language
• Learn how AI impacts strategy, operations, and business models
• Build a practical AI adoption roadmap
• Evaluate AI solutions such as RAG, fine-tuning, and AI agents
• Understand AI governance, risks, and responsible use
• Gain tools to lead cross-functional AI initiatives
• Deliver measurable ROI from AI investments
• HRDC claimable course under HRDC Registration No. 10001677365

Learning Outcomes

By the end of this course, participants will be able to:

• Clearly explain Generative AI concepts and market landscape in executive terms
• Identify AI opportunities across strategy, marketing, operations, IT, finance, and HR
• Develop an AI adoption roadmap aligned with business priorities
• Make informed decisions about AI architecture (RAG, fine-tuning, agents, workflows)
• Evaluate AI risks, governance requirements, and responsible use frameworks
• Lead cross-functional AI initiatives with measurable ROI
• Communicate AI strategy confidently to boards, CEOs, and stakeholders

Prerequisites

• No technical or coding knowledge required
• Basic familiarity with AI tools such as ChatGPT or similar platforms
• Experience in managerial, leadership, or strategic roles
• Interest in digital transformation and innovation

Lab Setup

As this is an executive-level program, no complex technical setup is required. Participants should have:

• A laptop with internet access
• Access to AI tools (e.g., ChatGPT or similar platforms)
• Browser access for interactive exercises and simulations

Teaching Methodology

This course is designed for executive engagement and practical decision-making, combining:

• Instructor-led strategic briefings
• Real-world case studies
• Executive simulations and role plays
• Group discussions and peer learning
• Framework-driven planning exercises
• Guided AI strategy workshops

Generative AI

HRDC Reg. No: 10001677341
Course Duration: 32 Hours (4 Days)

Course Overview

Agentic AI represents the next evolution beyond traditional prompt-based Large Language Model (LLM) systems. Instead of simple input-output interactions, Agentic AI enables intelligent agents to plan, reason, collaborate, use tools, and execute tasks autonomously.

This intensive 4-day hands-on program guides participants from foundational concepts to advanced implementation using both no-code platforms (n8n, Custom GPTs) and code-based frameworks (LangChain, CrewAI).

Participants will also gain deep expertise in the Model Context Protocol (MCP)—learning how to design, build, and deploy MCP servers and clients using Python, and integrate them into enterprise-grade AI systems.

By the end of the course, learners will be equipped to build scalable, interoperable, and production-ready AI agent systems.

Who Should Attend

• Software Developers & Engineers
• AI/ML Practitioners
• Automation Specialists
• Technical Consultants
• Digital Transformation Leaders
• IT Professionals exploring AI integration

Why Choose This Course

• HRDC Claimable Course (HRDC Reg. No: 10001677341)
• Hands-on labs with real-world tools (n8n, LangChain, CrewAI)
• Covers both no-code and full-code AI agent development
• Deep dive into MCP (Model Context Protocol) — an emerging enterprise standard
• Build production-ready AI systems, not just prototypes
• Learn integration with APIs, tools, and enterprise workflows

Learning Outcomes

By the end of this program, participants will be able to:

• Differentiate between traditional LLM systems and Agentic AI
• Design single-agent and multi-agent architectures
• Build automation agents using n8n (no-code)
• Develop intelligent agents using LangChain and CrewAI
• Understand and implement MCP architecture
• Build MCP servers and clients using Python
• Integrate MCP with agent frameworks and LLM systems

Prerequisites

• Basic knowledge of Python (syntax, functions, JSON handling)
• Familiarity with LLMs (e.g., ChatGPT)
• Understanding of prompt engineering fundamentals
• Basic knowledge of APIs and client-server architecture
• (Optional) Exposure to machine learning concepts

Lab Setup

Participants should prepare:

• Laptop with minimum 8GB RAM
• Python environment installed (Python 3.9+)
• Internet access
• Accounts for:
  • n8n
  • OpenAI / ChatGPT
• Code editor (e.g., VS Code)

Teaching Methodology

• Instructor-led interactive sessions
• Step-by-step guided labs
• Real-world case studies
• Hands-on agent development
• Collaborative exercises and mini projects
• Continuous Q&A and troubleshooting

Generative AI

HRDC Reg. No: TBA

Course Duration: 16 Hours (2 Days)

Course Overview

This 2-day hands-on Agentic AI course introduces participants to the next evolution of artificial intelligence beyond traditional Large Language Model (LLM) prompting. Unlike basic AI tools, Agentic AI systems can plan tasks, use tools, remember context, and act autonomously to complete real-world business workflows.

Participants will gain practical exposure to building no-code AI agents using n8n and ChatGPT Custom GPTs. The training focuses on real business and marketing automation use cases such as content generation, social media automation, research workflows, and multi-agent collaboration. The course also introduces Model Context Protocol (MCP) as a scalable infrastructure layer for connecting AI agents with WhatsApp, APIs, and external tools.

This course is ideal for professionals who want to implement AI-driven automation without coding knowledge.

Who Should Attend

This course is suitable for:

• Business professionals exploring AI automation
• Marketing teams looking to automate content and social media workflows
• Operations teams interested in no-code workflow automation
• Entrepreneurs and business owners seeking AI-driven productivity
• Digital transformation leaders
• Non-technical users who want to build AI agents without programming
• Technical professionals who want a practical introduction to no-code agent systems

Why Choose This Course

• Learn Agentic AI in simple, business-friendly language
• Build real no-code AI agents using n8n and ChatGPT Custom GPTs
• Explore practical marketing and business automation use cases
• Gain hands-on experience with workflow automation and multi-agent systems
• Discover how MCP enables scalable AI integration with tools, APIs, and WhatsApp
• Designed for immediate business application with minimal technical barriers

Learning Outcomes

By the end of this course, participants will be able to:

• Understand the core concepts of Agentic AI in business terms
• Differentiate between AI, LLMs, and Agentic AI systems
• Explain how AI agents plan, remember, act, and use tools
• Build workflow automation agents using n8n
• Create practical no-code AI solutions for marketing and business workflows
• Explore multi-agent collaboration concepts
• Understand the role of MCP in AI agent infrastructure
• Apply Agentic AI to real-world productivity and automation scenarios

Prerequisites

Participants should have:

• No coding knowledge required
• Basic understanding of Agentic AI, LLMs, and AI agents
• Familiarity with ChatGPT and basic prompting
• A laptop with internet access
• Google Chrome browser recommended
• Access to n8n
• ChatGPT Plus account for Custom GPTs

Lab Setup

Participants are required to prepare the following before attending:

• Laptop or desktop computer
• Stable internet connection
• Google Chrome browser
• Active n8n account
• Active ChatGPT Plus subscription
• Access to online tools and social media platforms for selected exercises

Teaching Methodology

This course uses a practical, instructor-led, hands-on approach that combines:

• Interactive lectures and guided demonstrations
• Real-world case studies and business use cases
• Step-by-step no-code exercises
• Hands-on lab activities using n8n and ChatGPT Custom GPTs
• Group discussion and application-based learning
• Guided exploration of AI agent workflows and automation design

Tools Used

• n8n – Zero-code workflow automation and AI agents
• ChatGPT Custom GPTs – No-code AI agent builder within ChatGPT

Generative AI

HRDC Reg. No: 10001658404

Course Duration: 40 Hours (5 Days)

Course Overview

Agentic AI represents the next evolution beyond traditional Generative AI, enabling systems to plan, reason, use tools, access enterprise data, and execute multi-step workflows autonomously.

This intensive 5-day program is designed for engineers and technical leaders who want to build production-ready AI agents using Python. Participants will move beyond prompt engineering into designing autonomous, tool-using, memory-enabled, and multi-agent systems integrated with enterprise environments.

The course emphasizes real-world implementation, combining LLMs, orchestration frameworks, RAG architectures, and deployment strategies to prepare participants for modern AI engineering roles.

Who Should Attend

• Software Engineers / Senior Developers
• AI / ML Engineers
• Solution Architects
• Automation & Platform Engineers
• Product & Technical Leads (hands-on)

Why Choose This Course

• Focus on Agentic AI (next-gen AI beyond GenAI)
• Hands-on development using Python + modern AI frameworks
• Covers multi-agent systems, RAG, MCP, and deployment
• Includes real-world enterprise use cases and capstone project
• Prepares participants for AI Agent Engineer / Architect roles

Learning Outcomes

By the end of this program, participants will be able to:

• Understand the difference between Agentic AI and traditional GenAI
• Design and build autonomous AI agents using Python
• Implement multi-agent systems with orchestration and coordination
• Integrate LLMs with tools, memory, and reasoning frameworks
• Develop RAG-powered agents for enterprise data
• Apply Model Context Protocol (MCP) concepts
• Evaluate, debug, and optimize AI agents for production
• Deploy scalable Agentic AI systems using best practices

Prerequisites

Technical Requirements

• Python fundamentals (functions, classes, environments)
• Basic knowledge of REST APIs, JSON, and Git
• Introductory understanding of GenAI / LLMs (recommended)

Nice to Have

• Experience with FastAPI or Flask
• Basic cloud knowledge (AWS, Azure, GCP)

Lab Setup

Hardware

• Laptop with minimum 16GB RAM
• Stable internet connection

Software

• Python 3.10+
• VS Code / PyCharm
• Git & GitHub account
• Docker (optional)

Libraries & Tools

• openai, langchain, langgraph, autogen
• pydantic, chromadb, faiss-cpu
• fastapi, uvicorn, tiktoken, pytest

Access Requirements

• OpenAI / Azure OpenAI / Gemini API keys
• Sample enterprise datasets (provided)

Teaching Methodology

• Instructor-led deep technical sessions
• Hands-on labs (70% practical focus)
• Real-world AI agent development scenarios
• Guided implementation of frameworks (LangChain, LangGraph, AutoGen)
• Capstone project with production-ready output
• Debugging, evaluation, and deployment exercises

Generative AI

HRDC Reg. No: 10001553990
Duration: 3 Days (21 Hours)

Course Overview

This 3-day intensive program empowers AI developers and engineers to build intelligent, collaborative multi-agent systems using Microsoft AutoGen. Participants will learn to implement advanced agent communication strategies, design human-in-the-loop workflows, integrate APIs and external tools, and orchestrate domain-specialized AI agents. The course focuses on hands-on practice and real-world use cases to help you confidently create, manage, and deploy AI-powered automation systems using cutting-edge open-source frameworks.

Who Should Attend

• AI and ML Engineers

• Python Developers

• Technical Architects

• Automation Engineers

• R&D and Innovation Teams

Why Choose This Course

This HRDC claimable course (Reg. No: 10001553990) is designed to help technical professionals master AutoGen, Microsoft's open-source framework for creating LLM-powered multi-agent systems. With a deep dive into advanced tools like Swarm, Magentic One, and GraphFlow, participants will build the skills needed to lead intelligent automation projects across industries.

Learning Outcomes

By the end of this course, participants will be able to:

• Design and implement AutoGen-based multi-agent systems

• Leverage tools and APIs for enhanced agent capability

• Implement complex interaction patterns: RoundRobin, Selector, Swarm, etc.

• Create human-in-the-loop and autonomous workflows

• Use structured responses and model contexts for precision tasks

• Customize agents for specific domain functions and control logic

• Develop scalable AI systems with persistence, state management, and agent orchestration

Prerequisites

• Intermediate Python programming skills

• Basic understanding of LLMs and their role in AI systems

Teaching Methodology

• Interactive instructor-led sessions

• Live demonstrations and technical walkthroughs

• Hands-on coding labs using AutoGen

• Case-based discussions and architecture reviews

• Group Q&A and troubleshooting sessions

• Final real-world mini project

Generative AI

HRDC Reg. No: To Be Announced

Duration: 10 Days (70 Hours)

Course Overview

This comprehensive 10-day (70 hours) hands-on training covers Generative AI concepts, tools, and applications. Participants will gain expertise in neural networks, prompt engineering, LangChain, vector stores, AI agents, and model deployment using LangGraph, Crew AI, AutoGen, and OpenAI Assistant. The course includes practical labs to reinforce real-world AI implementation skills.

Who Should Attend?

This course is ideal for professionals looking to leverage Generative AI in their domain:

• Software Engineers – AI application development
• Data Scientists – Generative AI model training & optimization
• Machine Learning Engineers – LLM integration into applications
• AI Researchers – Exploring advanced AI agentic frameworks
• Solution Architects – Building AI-driven applications
• Product Managers – Understanding AI capabilities for product innovation
• Tech Leads & CTOs – Evaluating AI solutions for enterprise deployment

Why Choose This Course?

✔ HRDC-Claimable Training 
✔ Industry-Relevant Content – Covers the latest Generative AI advancements
✔ Hands-on Labs – Practical coding experience
✔ Expert-Led Sessions – Learn from industry experts

Learning Outcomes

By the end of this course, participants will:

• Develop & deploy AI applications
• Understand neural networks, embeddings & vector stores
• Apply prompt engineering techniques
• Build LLM-powered AI solutions with LangChain, AutoGen & OpenAI Assistant
• Deploy multi-agent AI workflows
• Implement retrieval-augmented generation (RAG)
• Utilize Azure OpenAI for enterprise AI

Prerequisites

• Basic knowledge of Python
• Familiarity with machine learning concepts is helpful but not required

Lab Setup

Participants will require:
Python environment (Anaconda, Jupyter Notebook, or VS Code)
OpenAI API access
Streamlit/Gradio for chatbot development
LangChain, Crew AI, and AutoGen libraries installed

Teaching Methodology

Instructor-led Sessions – Real-world case studies
Hands-on Labs – Practical coding with OpenAI, LangChain, AutoGen, LlamaIndex
Live Coding & Demos – AI application development
Project-Based Learning – AI product building
Q&A & Industry Discussions

Generative AI

HRDC Registration Number: 10001463036

Duration: 21 Hours (3 Days)

Course Overview

This interactive workshop introduces Generative AI (Gen AI) to both IT and non-IT teams, equipping them with practical skills to integrate AI technologies into their roles. The program covers AI fundamentals, LLMs like ChatGPT, and advanced applications such as image, video, and content generation. Participants will explore workplace productivity enhancements, automation, and ethical considerations while gaining hands-on experience to drive innovation and efficiency.

Who Should Attend

Industries:

• Information Technology
• Financial Services
• Healthcare
• Retail and E-commerce
• Manufacturing
• Media and Entertainment
• Education

Participants:

• IT Managers
• Software Engineers
• Data Scientists
• Project Managers
• Marketing Professionals
• Business Analysts
• Operations Managers

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001463036) empowers IT and non-IT professionals to leverage Generative AI for productivity, creativity, and innovation, providing actionable insights and practical experience.

Learning Outcomes

Participants will:

• Understand AI fundamentals, including LLMs like ChatGPT and their applications.
• Leverage Gen AI for workplace productivity and automation.
• Master AI tools for content, image, and video generation.
• Explore ethical considerations and data security in AI applications.
• Implement Gen AI solutions to innovate and enhance organizational efficiency.

Prerequisites

• Basic understanding of computer operations.
• Familiarity with web-based applications.
• No prior AI or Machine Learning knowledge required.

Lab Setup

• Hardware: 64-bit CPU PC with 8GB RAM, 20GB free disk space.
• Software:
  • Google Gemini, ChatGPT (paid subscription optional), Google Colab.

Teaching Methodology

• Hands-on workshops.
• Demos and real-world case studies.
• Lectures and group discussions.

Generative AI

HRDC Registration Number: 10001464294

Duration: 21 Hours (3 Days)

Course Overview

This hands-on workshop provides an in-depth exploration of Generative AI and Large Language Models (LLMs). Participants will learn foundational concepts, advanced techniques like Retrieval-Augmented Generation (RAG), and practical skills to customize, fine-tune, and deploy LLMs for real-world applications, delivering tangible business outcomes.

Who Should Attend

Industries:

• Information Technology
• Software Development
• Financial Services
• Healthcare
• E-commerce
• Telecommunications

Participants:

• Software Developers
• Engineers
• Technical Architects
• Solution Architects
• IT Professionals with programming experience

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464294) equips participants with advanced LLM knowledge and practical skills to design, deploy, and optimize AI-driven applications, addressing ethical considerations and data security.

Learning Outcomes

Participants will:

• Understand the architecture and training mechanisms of LLMs.
• Master prompt engineering for effective AI communication.
• Build, fine-tune, and deploy LLMs for custom applications.
• Implement advanced techniques like RAG for optimized AI outputs.
• Address ethical considerations, data security, and bias in AI applications.
• Apply LLMs in content creation, automation, and data analysis.

Prerequisites

• Knowledge of software programming (Python preferred).
• Familiarity with command-line tools on Windows, Mac, or Linux.
• Understanding of JSON and YAML for configuration.

Lab Setup

• Hardware: 64-bit CPU PC, 16GB RAM, 50GB free disk space.
• Software:
  • Windows 11, Visual Studio Code, Node.js v20 LTS, Docker Desktop.
  • Python v3.11, Jupyter Notebook, Postman.

Teaching Methodology

• Presentations and discussions for conceptual clarity.
• Hands-on labs for over 90% of the workshop duration.
• Interactive Q&A sessions and group exercises.
• Practical demos and real-world examples.

Generative AI

HRDC Registration Number: 10001466096
Duration: 21 Hours (3 Days)

Course Overview

This course explores the fundamentals and advanced applications of Generative AI and Prompt Engineering. Participants will learn to build and fine-tune generative models like GPT and DALL-E, optimize AI outputs through prompt engineering, and address ethical considerations. The program combines theoretical insights with hands-on projects to create and manipulate AI-generated content for diverse industries.

Who Should Attend

Industries:

• Technology and Software Development
• Marketing and Advertising
• Media and Entertainment
• Healthcare
• Finance

Participants:

• Data Scientists
• Machine Learning Engineers
• AI Researchers
• Software Developers
• Professionals in content creation, marketing, and design

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001466096) offers hands-on learning to effectively utilize Generative AI tools for innovation across industries, while addressing ethical concerns for responsible AI implementation.

Learning Outcomes

Participants will:

• Understand the key concepts and technologies behind Generative AI.
• Build and fine-tune generative models using frameworks like GPT and DALL-E.
• Master prompt engineering techniques to optimize AI performance.
• Explore real-world use cases in industries like marketing, healthcare, and design.
• Analyze the ethical implications and limitations of generative models.
• Develop a complete AI application through a hands-on project.

Prerequisites

• Basic understanding of machine learning concepts.
• Familiarity with Python programming.
• Knowledge of neural networks and deep learning frameworks.

Lab Setup

• High-performance computing resources or cloud platforms (AWS, Google Cloud, Azure).
• Installation of PyTorch, TensorFlow, OpenAI GPT models.
• Jupyter Notebook environment for interactive coding.

Teaching Methodology

• Lectures and presentations for foundational learning.
• Hands-on labs and coding exercises.
• Real-world case studies and group discussions.
• Project-based learning for practical application.

Generative AI

HRDC Registration Number: 10001461875
Duration: 14 Hours (2 Days)

Course Overview

This advanced course focuses on creating and managing intelligent systems using Crew AI and AutoGen. Participants will master planning and building multi-agent applications, fostering collaboration, and implementing Retrieval-Augmented Generation (RAG). The program culminates in developing sophisticated chatbots and multi-agent systems for complex scenarios.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Retail
• Education

Participants:

• Data Scientists
• AI Developers
• Machine Learning Engineers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001461875) provides hands-on expertise in using Crew AI and AutoGen, enabling participants to create scalable and interactive AI-driven systems tailored to industry needs.

Learning Outcomes

Participants will:

• Develop and manage AI agents using Crew AI.
• Plan and build multi-agent applications with collaborative features.
• Create specialized agents for specific tasks like stock analysis and code interpretation.
• Design convertible agents with defined roles and interactions using AutoGen.
• Implement human-in-the-loop systems and utilize code execution tools.
• Build sophisticated chatbots and implement RAG techniques with AutoGen.

Prerequisites

• Basic Python programming knowledge.

Lab Setup

• Computers with Python installed.
• Access to Crew AI and AutoGen platforms.
• Tools for developing agents, human-in-the-loop systems, and code execution.

Teaching Methodology

• Interactive lectures and theoretical insights.
• Hands-on labs for practical application.
• Real-world case studies and group discussions.
• Focused sessions on multi-agent system development.

Generative AI

HRDC Registration Number: 10001464067
Duration: 14 Hours (2 Days)

Course Overview

This course dives into advanced tools and frameworks for Generative AI, including LangServe, LangGraph, and Llama Index. Participants will gain practical skills to expose LangChain runnables as APIs, build agents, and implement advanced indexing and querying systems. The course culminates in creating interactive AI applications with Retrieval-Augmented Generation (RAG) and human feedback loops.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Retail
• Education

Participants:

• Data Scientists
• AI Developers
• Machine Learning Engineers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464067) provides hands-on training with cutting-edge tools, equipping participants to design, deploy, and optimize robust AI-driven systems for real-world applications.

Learning Outcomes

Participants will:

• Use LangServe to expose LangChain runnables as APIs.
• Build and manage sophisticated agents with LangGraph.
• Implement Retrieval-Augmented Generation (RAG) systems using LangGraph and Llama Index.
• Leverage Llama Index for advanced indexing and querying.
• Create chatbots and interactive applications with human feedback loops.
• Optimize AI-driven systems for scalability and efficiency.

Prerequisites

• Basic Python programming knowledge.

Lab Setup

• Computers with Python installed.
• Access to LangServe, LangGraph, and Llama Index.
• API access for LangChain runnables and tools for agent management.

Teaching Methodology

• Interactive lectures and theoretical insights.
• Hands-on labs for practical application.
• Case studies and group discussions.
• Real-world scenario exercises with advanced AI tools.

Generative AI

HRDC Registration Number: 10001462889
Duration: 21 Hours (3 Days)

Course Overview

This dynamic three-day course offers a practical understanding of Generative AI and advanced implementation techniques. With a strong focus on hands-on learning, participants will gain expertise in using OpenAI and LangChain, mastering prompt engineering, embeddings, and AI-enabled app development.

Who Should Attend

Industries:

• Technology and Software Development
• Data Science and Analytics
• Content Creation
• Business and Project Management

Participants:

• Business Leaders
• Project Managers
• Data Scientists
• Software Developers
• Content Creators
• Individuals exploring AI for workplace innovation and task automation

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001462889) provides practical insights into utilizing Generative AI to automate tasks, foster innovation, and build advanced AI-driven applications.

Learning Outcomes

Participants will:

• Understand the fundamentals and applications of Generative AI.
• Master prompt engineering to craft effective AI instructions.
• Explore real-world Generative AI implementations across various industries.
• Automate tasks, generate content, and optimize decision-making using AI tools.
• Build AI-enabled applications with LangChain, RAG, and advanced integrations.

Prerequisites

• Basic Python programming knowledge.

Lab Setup

• Access to OpenAI API, LangChain environment, ChromaDB, Pinecone, LangSmith, and LangGraph.

Teaching Methodology

• Interactive lectures and presentations.
• Hands-on labs and practical exercises.
• Real-world case studies and group discussions.
• Project-based learning for AI app development.

Generative AI

HRDC Registration Number: 10001464068
Duration: 35 Hours (5 Days)

Course Overview

This comprehensive 5-day program provides a practical introduction to Generative AI through OpenAI, HuggingFace, and LangChain. The course covers foundational concepts in AI and neural networks, advanced topics in prompt engineering, transformer models, and hands-on development of AI-driven applications. Participants will explore Retrieval-Augmented Generation (RAG), memory management, and observability techniques to optimize real-world AI applications.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Retail
• Education

Participants:

• Data Scientists
• AI Developers
• Machine Learning Engineers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464068) equips participants with hands-on experience and in-depth knowledge of leading AI frameworks to create, optimize, and manage Generative AI applications in professional environments.

Learning Outcomes

Participants will:

• Train and optimize machine learning models using Keras and TensorFlow.
• Utilize OpenAI's ChatGPT for diverse AI tasks.
• Apply advanced prompt engineering techniques.
• Implement transformer models using the HuggingFace library.
• Build and manage AI applications with LangChain, embedding, and RAG systems.
• Configure tools and agents for AI workflows and implement observability techniques.

Prerequisites

• Basic knowledge of Python programming.

Lab Setup

• Software: Python, OpenAI API access, HuggingFace Transformers library, LangChain.
• Tools: ChromaDB, Pinecone, LangSmith, LangGraph, and related libraries.

Teaching Methodology

• Interactive lectures with theoretical insights.
• Hands-on labs for practical applications.
• Real-world case studies and group exercises.
• Practical development and optimization sessions.

Generative AI

HRDC Registration Number: 10001462140
Duration: 21 Hours (3 Days)

Course Overview

This hands-on course takes participants on a journey from foundational AI concepts to advanced applications of Generative AI. Covering Large Language Models (LLMs) like ChatGPT, prompt engineering, and the LangChain framework, the course equips learners to create AI-powered solutions with real-world utility. Participants will engage in practical labs involving embeddings, RAG techniques, and AI-driven workflows using tools like ChromaDB and Pinecone.

Who Should Attend

Industries:

• Technology
• Finance
• Healthcare
• Education
• Retail

Participants:

• Data Scientists
• Machine Learning Engineers
• AI Developers
• Software Engineers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001462140) delivers cutting-edge knowledge and hands-on skills for utilizing Generative AI in innovative ways, from AI-driven workflows to advanced tools like LangChain.

Learning Outcomes

Participants will:

• Understand foundational AI concepts, including Generative AI and neural networks.
• Develop proficiency in prompt engineering for effective AI interactions.
• Learn to use LangChain for managing AI-enabled applications.
• Implement embeddings, vector stores, and RAG techniques.
• Configure and integrate AI tools and agents for real-world use cases.
• Build practical AI applications through comprehensive hands-on labs.

Prerequisites

• Basic Python programming skills.

Lab Setup

• Software: Python, LangChain, OpenAI API access, ChromaDB, Pinecone.
• Tools: Database integration and web-search capabilities.

Teaching Methodology

• Interactive lectures with theoretical underpinnings.
• Hands-on labs to solidify practical applications.
• Case studies and real-world examples.
• Group discussions and collaborative problem-solving.

Generative AI

HRDC Registration Number: 10001464088
Duration: 21 Hours (3 Days)

Course Overview

This immersive 3-day workshop empowers software developers, architects, and IT professionals with Generative AI (Gen AI) and Large Language Models (LLMs) to optimize the entire SDLC. Through hands-on activities, participants will learn AI-driven techniques for requirements analysis, code generation, testing, and technical debt management, achieving significant productivity gains and improved software quality.

Who Should Attend

Industries:

• Information Technology
• Software Development
• Financial Services
• Healthcare
• E-commerce
• Telecommunications

Participants:

• Software Developers
• Solution Architects
• Technical Architects
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001464088) offers a practical, hands-on approach to leveraging Generative AI in software development, equipping participants to address modern challenges and streamline SDLC processes securely and efficiently.

Learning Outcomes

Participants will:

• Understand AI fundamentals, including Machine Learning, Deep Learning, and Gen AI.
• Apply AI to software requirements analysis, code generation, and workflow automation.
• Detect and fix bugs, and automate comprehensive testing scenarios with AI tools.
• Deploy private LLM models to enhance security and streamline SDLC processes.
• Manage technical debt and modernize legacy code efficiently with AI assistance.

Prerequisites

• Proficiency in one programming language.
• Basic knowledge of Python and JavaScript.
• Familiarity with JSON, YAML, and command-line tools on Windows, Mac, or Linux.

Lab Setup

• Hardware: 64-bit CPU PC, 16GB RAM, 50GB free disk space.
• Software:
  • Windows 11
  • Visual Studio Code, Node.js v20 LTS, Docker Desktop, Python v3.11
  • Jupyter Notebook, Postman, GitHub Desktop
  • GitHub Copilot and Codeium extensions

Teaching Methodology

• Hands-on workshops
• Interactive demos
• Group activities
• Case studies

Generative AI

HRDC Registration Number: 10001463774
Duration: 21 Hours (3 Days)

Course Overview

This intensive training program enables participants to integrate Generative AI across the entire software testing lifecycle. It provides hands-on experience with LLM models and RAG techniques, empowering participants to enhance productivity and accuracy in testing workflows. The course includes tools like ChatGPT, GitHub Copilot, and Codeium for practical implementations.

Who Should Attend

Professionals across the following industries and roles are encouraged to attend:

Industries:

• Information Technology
• Software Development
• Financial Services
• Healthcare
• E-commerce
• Telecommunications

Participants:

• Software Developers
• Software Test Engineers
• Technical Architects
• Test Managers
• IT Professionals

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001463774) provides a hands-on, 90% practical approach to mastering Generative AI in software testing, ensuring participants gain actionable skills to transform their testing processes.

Learning Outcomes

Participants will:

• Understand foundational concepts of AI, Machine Learning, and Generative AI.
• Apply prompt engineering techniques to AI-driven testing.
• Generate and optimize test cases, test data, and automation scripts using Generative AI.
• Implement custom GPTs and private LLM models for specialized testing workflows.
• Address critical concerns in data security, IP protection, and AI bias in testing processes.

Prerequisites

• Knowledge of software testing techniques.
• Proficiency with command prompt/terminal on Windows, Mac, or Linux.

Lab Setup

• Hardware: 64-bit CPU PC with at least 8GB RAM, 20GB free disk space.
• Software:
  • Windows 10/MacOS Sierra or higher.
  • Visual Studio Code with GitHub Copilot extension.
  • Node.js v20 LTS, Git, Docker Desktop, and GitHub Desktop.
  • Codeium installation.

Teaching Methodology

• Hands-on workshops.
• Interactive demonstrations.
• Group activities.
• Case studies.